TinyML and Efficient Deep Learning Computing

[Andrew]

 

 

Found this great course last night.

 

MIT's Fall 2023 EfficientML.ai course explores techniques to enhance the efficiency of large generative models like large language models and diffusion models. Key topics include model compression, pruning, quantization, neural architecture search, distributed training, and more. The course emphasizes deploying powerful deep learning applications on resource-constrained devices, including hands-on experience with models like LLaMA 2. It also covers application-specific acceleration for various models and introduces quantum machine learning.

For more details, visit the course playlist.